@article{DONG2026, 
author = {Chao DONG and Yuqian JING and Jiahao YOU and Jiajing WU and Honghui JIN and Wei FENG},
title = {Architecture and key technologies of low-altitude cooperative intelligence},
year = {2026},
journal = {Acta Aeronautica et Astronautica Sinica},
volume = {47},
number = {18},
keywords = {low-altitude economy, low-altitude intelligent network, unmanned aerial vehicles, collaborative intelligence, dual adaptation of edge and cloud},
url = {https://www.sciopen.com/article/10.7527/S1000-6893.2026.33756},
doi = {10.7527/S1000-6893.2026.33756},
abstract = {Facing the development demands of the low-altitude economy, the large-scale application of low-altitude aircraft in scenarios such as logistics distribution, urban supervision, emergency rescue, and low-altitude operations places higher requirements on the perception, communication, computing, and intelligence of low-altitude networks. Addressing the issues of insufficient coverage, fragile links, low coordination efficiency, and limited edge resources in traditional terrestrial networks within three-dimensional high-dynamic airspace, this paper reviews the low-altitude collaborative intelligence architecture and key technologies for the 6th Generation of Mobile Communication System (6G) space-air-ground integrated networks. First, it explains the operation mechanism of the dual end-cloud adaptive architecture and its parallel coupling of task flows and knowledge flows; next, it systematically reviews the research progress on key technologies such as cross-domain collaborative perception, heterogeneous dynamic networking, collaborative computing and distributed decision-making, and collaborative learning; further, by combining typical scenarios such as surveillance of unauthorized low-altitude drones, low-altitude network security coverage and resilient information assurance, and low-altitude network operations, it summarizes the application requirements and common challenges of low-altitude collaborative intelligence. The analysis indicates that the key issues faced by low-altitude collaborative intelligence mainly concentrate on perception trustworthiness, connection continuity, decision stability, and continuous learning.}
}